Yuan Guo
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Kevin DooleyXiaotian ChenTao ZhangXiaobiao ShanLihua TangTao XieHongyan WangRencheng Yu
- Topics
- Advanced Measurement and Detection Methods (5 papers)Distributed Control Multi-Agent Systems (5 papers)Adaptive Control of Nonlinear Systems (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistics, Probability and UncertaintyMedia Technology
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsThe Journal of the Acoustical Society of America
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Yuan Guo
39 papers receiving 551 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 207
- Control and Systems Engineering 103
- Electrical and Electronic Engineering 98
- Mechanical Engineering 93
- Artificial Intelligence 75
Countries citing papers authored by Yuan Guo
This map shows the geographic impact of Yuan Guo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Guo more than expected).
Fields of papers citing papers by Yuan Guo
This network shows the impact of papers produced by Yuan Guo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuan Guo. The network helps show where Yuan Guo may publish in the future.
Co-authorship network of co-authors of Yuan Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Guo. A scholar is included among the top collaborators of Yuan Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuan Guo. Yuan Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 74 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 36 | |
| 14 | 2 | |
| 15 | 63 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | Survey on development of decision support system | 0 |
| 20 | Application of neural networks to a diagnostic problem in quality control | 5 |
About Yuan Guo
Yuan Guo is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 46 papers that have together received 580 indexed citations. Recurring topics across this work include Advanced Measurement and Detection Methods (5 papers), Distributed Control Multi-Agent Systems (5 papers) and Adaptive Control of Nonlinear Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Statistics, Probability and Uncertainty (62 citations) and Media Technology (55 citations). Yuan Guo has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Kevin Dooley, Xiaotian Chen, Tao Zhang, Xiaobiao Shan, Lihua Tang, Tao Xie, Hongyan Wang, Rencheng Yu, Yibin Ren and Xiaofeng Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of the Acoustical Society of America.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.